Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms

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Documentation for package ‘ppgmmga’ version 1.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

ppgmmga-package	Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
nclass.numpy	Compute the Number of Classes for a Histogram
plot.ppgmmga	Plots the data onto the projection subspace estimated by the ppgmmga algorithm
ppgmmga	Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
ppgmmga-class	Class "ppgmmga"
ppgmmga.options	Default values for 'ppgmmga' package
print.ppgmmga	Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
print.summary.ppgmmga	Summary for projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation
summary.ppgmmga	Summary for projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation